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Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.
The Eros Now scraper from Real Data API enables businesses, researchers, and media analysts to efficiently collect structured information from the Eros Now streaming platform. Using automated data extraction, organizations can scrape Eros Now movies and TV shows data such as titles, genres, release dates, cast details, ratings, language, and episode information. This data is valuable for OTT analytics, content discovery platforms, and entertainment market research. With the powerful Eros Now API, users can access large volumes of streaming metadata in real time without manual effort. The API delivers structured datasets that can be integrated into analytics dashboards, recommendation engines, or data pipelines. By leveraging Real Data API solutions, companies can monitor content trends, analyze streaming catalogs, and gain deeper insights into the rapidly growing OTT entertainment industry.
An Eros Now scraper is an automated tool designed to collect structured information from the Eros Now streaming platform. It extracts key details such as movie titles, TV shows, genres, cast information, release dates, ratings, and episode data. The scraper works by sending automated requests to the platform’s publicly accessible pages or endpoints, then parsing the returned HTML or JSON responses to capture relevant data fields. This information is then organized into structured formats such as CSV, JSON, or databases for analysis. Businesses, researchers, and OTT analytics platforms use such scrapers to track content trends, monitor platform growth, and analyze digital entertainment catalogs.
Organizations often rely on the Eros Now API to collect valuable streaming data that supports market research and competitive analysis. Extracting data from Eros Now helps media analysts understand content distribution patterns, popular genres, and emerging viewer preferences. OTT aggregators and entertainment platforms use this information to build content discovery tools and recommendation engines. Additionally, businesses can analyze release patterns, ratings, and catalog expansion trends across the platform. Access to such insights allows companies to better understand the evolving streaming ecosystem and design strategies that align with audience demand and industry developments.
When collecting information from streaming platforms, businesses must follow legal and ethical guidelines. Many organizations rely on an Eros Now scraper API provider to ensure compliant data collection practices. Instead of downloading copyrighted video content, data extraction typically focuses on publicly available metadata such as titles, descriptions, release years, and ratings. Companies should review the platform’s terms of service and applicable data regulations before conducting any scraping activities. Using professional data providers helps ensure responsible data usage, secure extraction processes, and proper compliance with digital platform policies while still enabling valuable analytics and market research insights.
To efficiently collect structured streaming information, businesses often use tools designed to scrape Eros Now movies and TV shows data automatically. These tools navigate through content listings, gather show metadata, and store it in structured datasets for analysis. Developers may use scraping frameworks, APIs, or specialized data extraction platforms to automate the process. The collected data can then be integrated into analytics dashboards, recommendation engines, or OTT research platforms. Automated scraping solutions significantly reduce manual effort while enabling companies to monitor content updates, analyze entertainment catalogs, and generate actionable insights from streaming platforms.
Businesses seeking advanced data solutions may also use an Eros Now content listing data scraper to expand their OTT analytics capabilities. These tools can collect detailed catalog information such as movie categories, series listings, cast details, and user ratings. Alternative scraping tools and APIs provide flexible options for gathering structured entertainment data from multiple streaming platforms. By leveraging these technologies, organizations can compare OTT catalogs, monitor new releases, and study industry trends across services. Access to comprehensive streaming datasets enables businesses to build better content intelligence platforms, perform competitive benchmarking, and enhance digital entertainment research.
The Eros Now availability and region scraper helps businesses and analysts track where movies and TV shows are accessible across different geographic regions. By collecting regional availability data, companies can understand licensing patterns, content distribution strategies, and platform expansion trends. This information is valuable for OTT aggregators, entertainment researchers, and media intelligence platforms. In addition, Eros Now trending and popularity monitoring enables organizations to analyze which movies and series are gaining the most attention from viewers. Monitoring trending titles, ratings, and popularity indicators helps identify emerging entertainment trends. These insights support better content strategy, competitive analysis, and streaming market research in the rapidly growing OTT industry.
{
"platform": "Eros Now",
"scrape_date": "2026-03-15",
"total_records": 3,
"results": [
{
"title": "Tanu Weds Manu",
"content_type": "Movie",
"genre": ["Romance", "Comedy", "Drama"],
"release_year": 2011,
"language": "Hindi",
"duration_minutes": 119,
"rating": 7.6,
"cast": [
"R. Madhavan",
"Kangana Ranaut",
"Jimmy Shergill"
],
"availability_region": [
"India",
"United States",
"United Kingdom"
],
"subscription_plan": "Premium",
"description": "A romantic comedy about an arranged marriage that takes unexpected turns."
},
{
"title": "Metro Park",
"content_type": "TV Show",
"genre": ["Comedy", "Family"],
"release_year": 2019,
"seasons": 2,
"episodes": 20,
"language": "Hindi",
"rating": 8.1,
"cast": [
"Ranvir Shorey",
"Purbi Joshi",
"Omi Vaidya"
],
"availability_region": [
"India",
"Canada",
"Australia"
],
"subscription_plan": "Premium",
"description": "A comedy series exploring the lives of Indian families living in New Jersey."
},
{
"title": "Operation Cobra",
"content_type": "TV Show",
"genre": ["Action", "Thriller"],
"release_year": 2019,
"seasons": 1,
"episodes": 10,
"language": "Hindi",
"rating": 7.9,
"cast": [
"Gautam Gulati",
"Ruhi Singh",
"T. J. Bhanu"
],
"availability_region": [
"India",
"Singapore",
"UAE"
],
"subscription_plan": "Premium",
"description": "A military thriller focusing on covert operations and national security missions."
}
]
}
Integrating advanced scraping tools allows businesses to streamline OTT data collection and analytics. The Eros Now streaming platform data extractor enables seamless integration with data pipelines, analytics dashboards, and business intelligence platforms. It automatically gathers structured information such as movie titles, TV shows, genres, release dates, ratings, and cast details from the platform. This data can then be processed and analyzed for entertainment market research and content intelligence. The extracted information can also be compiled into a structured OTT Dataset, helping media companies, researchers, and streaming aggregators analyze content trends, monitor catalog growth, and build recommendation engines for better audience engagement.
Executing data extraction from streaming platforms becomes efficient with Real Data API solutions. The Eros Now scraper allows businesses, researchers, and OTT analysts to automatically collect structured information such as movie titles, TV shows, genres, release dates, ratings, cast details, and episode data. This automated process eliminates manual data collection and ensures consistent updates for analytics and content intelligence. By integrating the Eros Now API, organizations can access streaming metadata in real time and export it into structured formats like JSON or CSV. This enables seamless integration with dashboards, analytics tools, and recommendation systems, helping companies track content trends and gain deeper insights into the growing OTT streaming ecosystem.
You should have a Real Data API account to execute the program examples.
Replace
in the program using the token of your actor. Read
about the live APIs with Real Data API docs for more explanation.
import { RealdataAPIClient } from 'RealDataAPI-client';
// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
token: '' ,
});
// Prepare actor input
const input = {
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
};
(async () => {
// Run the actor and wait for it to finish
const run = await client.actor("junglee/amazon-crawler").call(input);
// Fetch and print actor results from the run's dataset (if any)
console.log('Results from dataset');
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
})();
from realdataapi_client import RealdataAPIClient
# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("" )
# Prepare the actor input
run_input = {
"categoryOrProductUrls": [{ "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5" }],
"maxItems": 100,
"proxyConfiguration": { "useRealDataAPIProxy": True },
}
# Run the actor and wait for it to finish
run = client.actor("junglee/amazon-crawler").call(run_input=run_input)
# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# Set API token
API_TOKEN=<YOUR_API_TOKEN>
# Prepare actor input
cat > input.json <<'EOF'
{
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
}
EOF
# Run the actor
curl "https://api.realdataapi.com/v2/acts/junglee~amazon-crawler/runs?token=$API_TOKEN" \
-X POST \
-d @input.json \
-H 'Content-Type: application/json'
productUrls
Required Array
Put one or more URLs of products from Amazon you wish to extract.
Max reviews
Optional
Integer
Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.
linkSelector
Optional String
A CSS selector saying which links on the page (< a> elements with href attribute) shall be followed and added to the request queue. To filter the links added to the queue, use the Pseudo-URLs and/or Glob patterns setting. If Link selector is empty, the page links are ignored. For details, see Link selector in README.
includeGdprSensitive
Optional Array
Personal information like name, ID, or profile pic that GDPR of European countries and other worldwide regulations protect. You must not extract personal information without legal reason.
sort
Optional String
Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.
RECENT,HELPFUL
proxyConfiguration
Required Object
You can fix proxy groups from certain countries. Amazon displays products to deliver to your location based on your proxy. No need to worry if you find globally shipped products sufficient.
extendedOutputFunction
Optional String
Enter the function that receives the JQuery handle as the argument and reflects the customized scraped data. You'll get this merged data as a default result.
{
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"detailedInformation": false,
"useCaptchaSolver": false,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
}